EL əlaqələri – Binary Options göstəriciləri

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7 Binary Options

CELE MAI BUNE PLATFORME DE TRANZACȚIONARE ONLINE:

Binary and digital options are prohibited in EEA

Tranzacționarea cu opțiuni binare nu necesită experiență în domeniul financiar. Trebuie doar să indicați direcția în care prețul unui bun se va îndrepta. Prețul poate fie crește (call), fie să scadă (put). Numărul total de tipuri de strategii care vă pot multiplica veniturile poate ajunge la câteva sute, însă aveți nevoie doar de câteva pentru a obține venituri bune în urma investiților. Cei mai de succes traderi în domeniul opțiunilor binare folosesc de fapt metode și strategii foarte simple.

Am căutat pentru dumneavoastră strategiile cele mai eficient care vă vor ajuta să obțineți rate de câștig mult mai mari. Aceste strategii vă vor ajuta să identificați anumite semn ale pieței și să faceți alegerea potrivită în tranzacționarea opțiunilor binare. Acest lucru vă va ajuta să minimalizați riscurile și să creșteți profiturile din investiții.

Cum să minimalizați riscurile

Este important pentru fiecare persoană care tranzacționează să minimalizeze riscurile și să își mențină capitalul. În cele ce urmează vom prezenta câteva dintre cele mai importante principii care pot ajuta în minimalizarea riscurilor.

1. Nu vă plasați toată investiția într-o singură tranzacție

2. Aflați mai multe informații despre bunul pe care urmează să plasați o predicție.

3. Vă recomandăm să investiți 5-10% din sumă pentru fiecare predicție folosind strategia preferată.

Sunt multe bunuri pe care le puteți alege când tranzacționați opțiuni binare. Totuși, cea mai veche și cunoscută metodă de a minimaliza riscurile este concentrarea și investiția într-un singur bun. Tranzacționați bunul cu care sunteți cel mai familiarizat, ca de exemplu cursul de schimb euro-dolar. Dacă îl veți tranzacționa pentru o vreme, vă veți obișnui și prin urmare, veți învăța cum să preziceți direcția spre care valoarea se îndreaptă.

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Tipuri de strategii

1. Strategia de tendință

Aceasta este strategia de bază folosită de către începători dar și de către investitorii cu mai multă experiență. Este des numită strategia Taur Urs (bull bear). Se concentreaza pe monitorizarea creșterii, declinului și liniei de tendință a bunului care este tranzacționat.

Dacă linia de tendință arată că bunul urmează să crească, alegeți CALL

Dacă linia de tendință arată că bunul urmează să scadă, alegeți PUT

Dacă este o linie de tendință dreaptă și prețul bunul tranzacționat este prezis că va crește, opțiunea No Touch este recomandată. Funcționează în același mod precum opțiunile CALL/PUT doar că în acest caz, selectați prețul pe care bunul nu trebuie să îl atingă înainte de o perioadă de timp specificată. De exemplu: Prețul unei acțiuni Google este de 540$ și platforma de tranzacționare oferă prețul No Touch de 570$ cu un procent de returnare de 77%. Dacă prețul nu atinge 570$ după perioada pre-stabilită, atunci aveți un câștig.

2. Strategia Pinocchio

Această stragie este folosită când prețul unui bun este preconizat să crească sau să scadă dramatic în direcția opusă. Dacă se presupune că valoarea va crește, alegeți CALL iar dacă se presupune că va scădea, selectați PUT.

ALTER DATABASE SCOPED CONFIGURATION (Transact-SQL)

APPLIES TO: SQL Server 2020 and later Azure SQL Database Azure Synapse Analytics (SQL DW) Parallel Data Warehouse

This command enables several database configuration settings at the individual database level.

Following settings are supported in Azure SQL Database and in SQL Server beginning with SQL Server 2020 (13.x):

  • Clear procedure cache.
  • Set the MAXDOP parameter to an arbitrary value (1,2, . ) for the primary database based on what works best for that particular database and set a different value (such as 0) for all secondary database used (such as for reporting queries).
  • Set the query optimizer cardinality estimation model independent of the database to compatibility level.
  • Enable or disable parameter sniffing at the database level.
  • Enable or disable query optimization hotfixes at the database level.
  • Enable or disable the identity cache at the database level.
  • Enable or disable a compiled plan stub to be stored in cache when a batch is compiled for the first time.
  • Enable or disable collection of execution statistics for natively compiled T-SQL modules.
  • Enable or disable online by default options for DDL statements that support the ONLINE = syntax.
  • Enable or disable resumable by default options for DDL statements that support the RESUMABLE = syntax.
  • Enable or disable Intelligent query processing features.
  • Enable or disable accelerated plan forcing.
  • Enable or disable the auto-drop functionality of global temporary tables.
  • Enable or disable the lightweight query profiling infrastructure.
  • Enable or disable the new String or binary data would be truncated error message.
  • Enable or disable collection of last actual execution plan in sys.dm_exec_query_plan_stats.
  • Specify the number of minutes that a paused resumable index operation is paused before it is automatically aborted by the SQL Server engine.

This setting is only available in Azure Synapse Analytics (Formerly SQL DW).

  • Set the compatibility level of a user database

Syntax

Starting with SQL Server 2020 (15.x) and in Azure SQL Database, some option names have changed:

  • DISABLE_INTERLEAVED_EXECUTION_TVF changed to INTERLEAVED_EXECUTION_TVF
  • DISABLE_BATCH_MODE_MEMORY_GRANT_FEEDBACK changed to BATCH_MODE_MEMORY_GRANT_FEEDBACK
  • DISABLE_BATCH_MODE_ADAPTIVE_JOINS changed to BATCH_MODE_ADAPTIVE_JOINS

Arguments

Specifies the settings for secondary databases (all secondary databases must have the identical values).

CLEAR PROCEDURE_CACHE [plan_handle]

Clears the procedure (plan) cache for the database, and can be executed both on the primary and the secondaries.

Specify a query plan handle to clear a single query plan from the plan cache.

APPLIES TO: Specifying a query plan handle is available in Azure SQL Database and SQL Server 2020 or higher.

MAXDOP =

Specifies the default max degree of parallelism (MAXDOP) setting that should be used for statements. 0 is the default value and indicates that the server configuration will be used instead. The MAXDOP at the database scope overrides (unless it is set to 0) the max degree of parallelism set at the server level by sp_configure. Query hints can still override the database scoped MAXDOP in order to tune specific queries that need different setting. All these settings are limited by the MAXDOP set for the Workload Group.

You can use the MAXDOP option to limit the number of processors to use in parallel plan execution. SQL Server considers parallel execution plans for queries, index data definition language (DDL) operations, parallel insert, online alter column, parallel stats collection, and static and keyset-driven cursor population.

The max degree of parallelism (MAXDOP) limit is set per task. It is not a per request or per query limit. This means that during a parallel query execution, a single request can spawn multiple tasks which are assigned to a scheduler. For more information, see the Thread and Task Architecture Guide.

In Azure SQL Database, the server-level max degree of parallelism configuration is always set to 0. MAXDOP can be configured for each database as described in the current article. For recommendations on configuring MAXDOP optimally, see the Additional Resources section.

To accomplish this at the query level, use the MAXDOP query hint.
To accomplish this at the server level, use the max degree of parallelism (MAXDOP) server configuration option.
To accomplish this at the workload level, use the MAX_DOP Resource Governor workload group configuration option.

Can only be set for the secondaries, while the database in on the primary, and indicates that the configuration will be the one set for the primary. If the configuration for the primary changes, the value on the secondaries will change accordingly without the need to set the secondaries value explicitly. PRIMARY is the default setting for the secondaries.

LEGACY_CARDINALITY_ESTIMATION = < ON | OFF | PRIMARY >

Enables you to set the query optimizer cardinality estimation model to the SQL Server 2020 and earlier version independent of the compatibility level of the database. The default is OFF, which sets the query optimizer cardinality estimation model based on the compatibility level of the database. Setting LEGACY_CARDINALITY_ESTIMATION to ON is equivalent to enabling Trace Flag 9481.

To accomplish this at the query level, add the QUERYTRACEON query hint. Starting with SQL Server 2020 (13.x) SP1, to accomplish this at the query level, add the USE HINT query hint instead of using the trace flag.

This value is only valid on secondaries while the database in on the primary, and specifies that the query optimizer cardinality estimation model setting on all secondaries will be the value set for the primary. If the configuration on the primary for the query optimizer cardinality estimation model changes, the value on the secondaries will change accordingly. PRIMARY is the default setting for the secondaries.

Enables or disables parameter sniffing. The default is ON. Setting PARAMETER_SNIFFING to OFF is equivalent to enabling Trace Flag 4136.

To accomplish this at the query level, see the OPTIMIZE FOR UNKNOWN query hint. Starting with SQL Server 2020 (13.x) SP1, to accomplish this at the query level, the USE HINT query hint is also available.

This value is only valid on secondaries while the database in on the primary, and specifies that the value for this setting on all secondaries will be the value set for the primary. If the configuration on the primary for using parameter sniffing changes, the value on the secondaries will change accordingly without the need to set the secondaries value explicitly. PRIMARY is the default setting for the secondaries.

Enables or disables query optimization hotfixes regardless of the compatibility level of the database. The default is OFF, which disables query optimization hotfixes that were released after the highest available compatibility level was introduced for a specific version (post-RTM). Setting this to ON is equivalent to enabling Trace Flag 4199.

To accomplish this at the query level, add the QUERYTRACEON query hint. Starting with SQL Server 2020 (13.x) SP1, to accomplish this at the query level, add the USE HINT query hint instead of using the trace flag.

This value is only valid on secondaries while the database in on the primary, and specifies that the value for this setting on all secondaries is the value set for the primary. If the configuration for the primary changes, the value on the secondaries changes accordingly without the need to set the secondaries value explicitly. PRIMARY is the default setting for the secondaries.

APPLIES TO: SQL Server (Starting with SQL Server 2020 (14.x)) and Azure SQL Database

Enables or disables identity cache at the database level. The default is ON. Identity caching is used to improve INSERT performance on tables with identity columns. To avoid gaps in the values of an identity column in cases where the server restarts unexpectedly or fails over to a secondary server, disable the IDENTITY_CACHE option. This option is similar to the existing Trace Flag 272, except that it can be set at the database level rather than only at the server level.

This option can only be set for the PRIMARY. For more information, see identity columns.

INTERLEAVED_EXECUTION_TVF = < ON | OFF >

APPLIES TO: SQL Server (Starting with SQL Server 2020 (14.x)) and Azure SQL Database

Allows you to enable or disable Interleaved execution for multi-statement table-valued functions at the database or statement scope while still maintaining database compatibility level 140 and higher. Interleaved execution is a feature that is part of Adaptive query processing in Azure SQL Database. For more information, please refer to Intelligent query processing.

For database compatibility level 130 or lower, this database scoped configuration has no effect.

In SQL Server 2020 (14.x) only, the option INTERLEAVED_EXECUTION_TVF had the older name of DISABLE_INTERLEAVED_EXECUTION_TVF.

BATCH_MODE_MEMORY_GRANT_FEEDBACK = < ON | OFF>

APPLIES TO: SQL Server (Starting with SQL Server 2020 (14.x)) and Azure SQL Database

Allows you to enable or disable batch mode memory grant feedback at the database scope while still maintaining database compatibility level 140 and higher. Batch mode memory grant feedback a feature that is part of Intelligent query processing introduced in SQL Server 2020 (14.x).

For database compatibility level 130 or lower, this database scoped configuration has no effect.

BATCH_MODE_ADAPTIVE_JOINS = < ON | OFF>

APPLIES TO: SQL Server (Starting with SQL Server 2020 (14.x)) and Azure SQL Database

Allows you to enable or disable batch mode adaptive joins at the database scope while still maintaining database compatibility level 140 and higher. Batch mode adaptive joins is a feature that is part of Intelligent query processing introduced in SQL Server 2020 (14.x).

For database compatibility level 130 or lower, this database scoped configuration has no effect.

TSQL_SCALAR_UDF_INLINING = < ON | OFF >

APPLIES TO: SQL Server (Starting with SQL Server 2020 (15.x)) and Azure SQL Database (feature is in public preview)

Allows you to enable or disable T-SQL Scalar UDF inlining at the database scope while still maintaining database compatibility level 150 and higher. T-SQL Scalar UDF inlining is part of the Intelligent query processing feature family.

For database compatibility level 140 or lower, this database scoped configuration has no effect.

APPLIES TO: Azure SQL Database (feature is in public preview)

Allows you to select options to cause the engine to automatically elevate supported operations to online. The default is OFF, which means operations will not be elevated to online unless specified in the statement. sys.database_scoped_configurations reflects the current value of ELEVATE_ONLINE. These options will only apply to operations that are supported for online.

This value elevates all supported DDL operations to ONLINE. Operations that do not support online execution will fail and throw a warning.

This value elevates operations that support ONLINE. Operations that do not support online will be run offline.

You can override the default setting by submitting a statement with the ONLINE option specified.

APPLIES TO: SQL Server (Starting with SQL Server 2020 (15.x)) and Azure SQL Database (feature is in public preview)

Allows you to select options to cause the engine to automatically elevate supported operations to resumable. The default is OFF, which means operations are not be elevated to resumable unless specified in the statement. sys.database_scoped_configurations reflects the current value of ELEVATE_RESUMABLE. These options only apply to operations that are supported for resumable.

This value elevates all supported DDL operations to RESUMABLE. Operations that do not support resumable execution fail and throw a warning.

This value elevates operations that support RESUMABLE. Operations that do not support resumable are run non-resumably.

You can override the default setting by submitting a statement with the RESUMABLE option specified.

OPTIMIZE_FOR_AD_HOC_WORKLOADS = < ON | OFF >

APPLIES TO: Azure SQL Database

Enables or disables a compiled plan stub to be stored in cache when a batch is compiled for the first time. The default is OFF. Once the database scoped configuration OPTIMIZE_FOR_AD_HOC_WORKLOADS is enabled for a database, a compiled plan stub will be stored in cache when a batch is compiled for the first time. Plan stubs have a smaller memory footprint compared to the size of the full compiled plan. If a batch is compiled or executed again, the compiled plan stub will be removed and replaced with a full compiled plan.

XTP_PROCEDURE_EXECUTION_STATISTICS = < ON | OFF >

APPLIES TO: Azure SQL Database

Enables or disables collection of execution statistics at the module-level for natively compiled T-SQL modules in the current database. The default is OFF. The execution statistics are reflected in sys.dm_exec_procedure_stats.

Module-level execution statistics for natively compiled T-SQL modules are collected if either this option is ON, or if statistics collection is enabled through sp_xtp_control_proc_exec_stats.

XTP_QUERY_EXECUTION_STATISTICS = < ON | OFF >

APPLIES TO: Azure SQL Database

Enables or disables collection of execution statistics at the statement-level for natively compiled T-SQL modules in the current database. The default is OFF. The execution statistics are reflected in sys.dm_exec_query_stats and in Query Store.

Statement-level execution statistics for natively compiled T-SQL modules are collected if either this option is ON, or if statistics collection is enabled through sp_xtp_control_query_exec_stats.

For more information about performance monitoring of natively compiled Transact-SQL modules see Monitoring Performance of Natively Compiled Stored Procedures.

ROW_MODE_MEMORY_GRANT_FEEDBACK = < ON | OFF>

APPLIES TO: SQL Server (Starting with SQL Server 2020 (15.x)) and Azure SQL Database (feature is in public preview)

Allows you to enable or disable row mode memory grant feedback at the database scope while still maintaining database compatibility level 150 and higher. Row mode memory grant feedback a feature that is part of Intelligent query processing introduced in SQL Server 2020 (14.x) (row mode is supported in SQL Server 2020 (15.x) and Azure SQL Database).

For database compatibility level 140 or lower, this database scoped configuration has no effect.

BATCH_MODE_ON_ROWSTORE = < ON | OFF>

APPLIES TO: SQL Server (Starting with SQL Server 2020 (15.x)) and Azure SQL Database (feature is in public preview)

Allows you to enable or disable batch mode on rowstore at the database scope while still maintaining database compatibility level 150 and higher. Batch mode on rowstore is a feature that is part of Intelligent query processing feature family.

For database compatibility level 140 or lower, this database scoped configuration has no effect.

DEFERRED_COMPILATION_TV = < ON | OFF>

APPLIES TO: SQL Server (Starting with SQL Server 2020 (15.x)) and Azure SQL Database (feature is in public preview)

Allows you to enable or disable table variable deferred compilation at the database scope while still maintaining database compatibility level 150 and higher. Table variable deferred compilation is a feature that is part of Intelligent query processing feature family.

For database compatibility level 140 or lower, this database scoped configuration has no effect.

ACCELERATED_PLAN_FORCING = < ON | OFF >

Applies to: SQL Server (Starting with SQL Server 2020 (15.x))

Enables an optimized mechanism for query plan forcing, applicable to all forms of plan forcing, such as Query Store Force Plan, Automatic Tuning, or the USE PLAN query hint. The default is ON.

It is not recommended to disable accelerated plan forcing.

GLOBAL_TEMPORARY_TABLE_AUTO_DROP = < ON | OFF >

APPLIES TO: Azure SQL Database (feature is in public preview)

Allows setting the auto-drop functionality for global temporary tables. The default is ON, which means that the global temporary tables are automatically dropped when not in use by any session. When set to OFF, global temporary tables need to be explicitly dropped using a DROP TABLE statement or will be automatically dropped on server restart.

  • With Azure SQL Database single databases and elastic pools, this option can be set in the individual user databases of the SQL Database server.
  • In SQL Server and Azure SQL Database managed instance, this option is set in TempDB and the setting of the individual user databases has no effect.

LIGHTWEIGHT_QUERY_PROFILING = < ON | OFF>

APPLIES TO: SQL Server (Starting with SQL Server 2020 (15.x)) and Azure SQL Database

Allows you to enable or disable the lightweight query profiling infrastructure. The lightweight query profiling infrastructure (LWP) provides query performance data more efficiently than standard profiling mechanisms and is enabled by default.

VERBOSE_TRUNCATION_WARNINGS = < ON | OFF>

APPLIES TO: SQL Server (Starting with SQL Server 2020 (15.x)) and Azure SQL Database

Allows you to enable or disable the new String or binary data would be truncated error message. SQL Server 2020 (15.x) introduces a new, more specific error message (2628) for this scenario:

String or binary data would be truncated in table ‘%.*ls’, column ‘%.*ls’. Truncated value: ‘%.*ls’.

When set to ON under database compatibility level 150, truncation errors raise the new error message 2628 to provide more context and simplify the troubleshooting process.

When set to OFF under database compatibility level 150, truncation errors raise the previous error message 8152.

For database compatibility level 140 or lower, error message 2628 remains an opt-in error message that requires trace flag 460 to be enabled, and this database scoped configuration has no effect.

LAST_QUERY_PLAN_STATS = < ON | OFF>

APPLIES TO: SQL Server (Starting with SQL Server 2020 (15.x)) (feature is in public preview)

Allows you to enable or disable collection of the last query plan statistics (equivalent to an actual execution plan) in sys.dm_exec_query_plan_stats.

APPLIES TO: Azure SQL Database only

The PAUSED_RESUMABLE_INDEX_ABORT_DURATION_MINUTES option determines how long (in minutes) the resumable index is being paused before being automatically aborted by the engine.

  • The default value is set to 1 day (1440 minutes)
  • The minimum duration is set to 1 minute
  • The maximum duration is 71582 minutes
  • When set to 0, a paused operation will never automatically abort

The current value for this option is displayed in sys.database_scoped_configurations.

ISOLATE_SECURITY_POLICY_CARDINALITY = < ON | OFF>

APPLIES TO: SQL Server (Starting with SQL Server 2020 (15.x)) and Azure SQL Database

Allows you to control whether a Row-Level Security (RLS) predicate affects the cardinality of the execution plan of the overall user query. When ISOLATE_SECURITY_POLICY_CARDINALITY is ON, an RLS predicate does not affect the cardinality of an execution plan. For example, consider a table containing 1 million rows and an RLS predicate that restricts the result to 10 rows for a specific user issuing the query. With this database scoped configuration set to OFF, the cardinality estimate of this predicate will be 10. When this database scoped configuration is ON, query optimization will estimate 1 million rows. It is recommended to use the default value for most workloads.

DW_COMPATIBILITY_LEVEL (Preview) = <AUTO | 10 | 20 >

APPLIES TO: Azure Synapse Analytics only (Formerly SQL DW)

Sets Transact-SQL and query processing behaviors to be compatible with the specified version of the database engine. Once it’s set, when a query is executed on that database, only the compatible features will be exercised. A database’s compatibility level is set to AUTO by default when it’s first created. The compatibility level is preserved even after database pause/resume, backup/restore operations.

Bonus Depozit min. Câștig max.
Compatibility Level Comments
AUTO Default. Its value is equal to the latest supported compatibility level.
10 Exercises the Transact-SQL and query processing behaviors before the introduction of compatibility level support.
20 1st compatibility level that includes gated Transact-SQL and query processing behaviors.

Permissions

Requires ALTER ANY DATABASE SCOPED CONFIGURATION on the database. This permission can be granted by a user with CONTROL permission on a database.

General Remarks

While you can configure secondary databases to have different scoped configuration settings from their primary, all secondary databases use the same configuration. Different settings cannot be configured for individual secondaries.

Executing this statement clears the procedure cache in the current database, which means that all queries have to recompile.

For 3-part name queries, the settings for the current database connection for the query are honored, other than for SQL modules (such as procedures, functions, and triggers) that are compiled in the current database context and therefore uses the options of the database in which they reside.

The ALTER_DATABASE_SCOPED_CONFIGURATION event is added as a DDL event that can be used to fire a DDL trigger, and is a child of the ALTER_DATABASE_EVENTS trigger group.

Database scoped configuration settings will be carried over with the database, which means that when a given database is restored or attached, the existing configuration settings remain.

Starting with SQL Server 2020 (15.x) and in Azure SQL Database, some option names have changed:

  • DISABLE_INTERLEAVED_EXECUTION_TVF changed to INTERLEAVED_EXECUTION_TVF
  • DISABLE_BATCH_MODE_MEMORY_GRANT_FEEDBACK changed to BATCH_MODE_MEMORY_GRANT_FEEDBACK
  • DISABLE_BATCH_MODE_ADAPTIVE_JOINS changed to BATCH_MODE_ADAPTIVE_JOINS

Limitations and Restrictions

MAXDOP

The granular settings can override the global ones and that resource governor can cap all other MAXDOP settings. The logic for MAXDOP setting is the following:

Query hint overrides both the sp_configure and the database scoped configuration. If the resource group MAXDOP is set for the workload group:

If the query hint is set to zero (0), it is overridden by the resource governor setting.

If the query hint is not zero (0), it is capped by the resource governor setting.

The database scoped configuration (unless it’s zero) overrides the sp_configure setting unless there is a query hint and is capped by the resource governor setting.

The sp_configure setting is overridden by the resource governor setting.

QUERY_OPTIMIZER_HOTFIXES

When QUERYTRACEON hint is used to enable the default query optimizer of SQL Server 7.0 through SQL Server 2020 (11.x) versions or query optimizer hotfixes, it would be an OR condition between the query hint and the database scoped configuration setting, meaning if either is enabled, the database scoped configurations apply.

Geo DR

Readable secondary databases (Always On Availability Groups and Azure SQL Database geo-replicated databases), use the secondary value by checking the state of the database. Even though recompile does not occur on failover and technically the new primary has queries that are using the secondary settings, the idea is that the setting between primary and secondary only vary when the workload is different and therefore the cached queries are using the optimal settings, whereas new queries pick the new settings that are appropriate for them.

DacFx

Since ALTER DATABASE SCOPED CONFIGURATION is a new feature in Azure SQL Database and SQL Server (starting with SQL Server 2020 (13.x)) that affects the database schema, exports of the schema (with or without data) are not able to be imported into an older version of SQL Server, such as SQL Server 2020 (11.x) or SQL Server 2020 (12.x). For example, an export to a DACPAC or a BACPAC from an SQL Database or SQL Server 2020 (13.x) database that used this new feature would not be able to be imported into a down-level server.

ELEVATE_ONLINE

This option only applies to DDL statements that support the WITH (ONLINE = ) . XML indexes are not affected.

ELEVATE_RESUMABLE

This option only applies to DDL statements that support the WITH (RESUMABLE = ) . XML indexes are not affected.

Metadata

The sys.database_scoped_configurations (Transact-SQL) system view provides information about scoped configurations within a database. Database-scoped configuration options only show up in sys.database_scoped_configurations as they are overrides to server-wide default settings. The sys.configurations (Transact-SQL) system view only shows server-wide settings.

Examples

These examples demonstrate the use of ALTER DATABASE SCOPED CONFIGURATION

A. Grant Permission

This example grant permission required to execute ALTER DATABASE SCOPED CONFIGURATION to user Joe.

B. Set MAXDOP

This example sets MAXDOP = 1 for a primary database and MAXDOP = 4 for a secondary database in a geo-replication scenario.

This example sets MAXDOP for a secondary database to be the same as it is set for its primary database in a geo-replication scenario.

C. Set LEGACY_CARDINALITY_ESTIMATION

This example sets LEGACY_CARDINALITY_ESTIMATION to ON for a secondary database in a geo-replication scenario.

This example sets LEGACY_CARDINALITY_ESTIMATION for a secondary database as it is for its primary database in a geo-replication scenario.

D. Set PARAMETER_SNIFFING

This example sets PARAMETER_SNIFFING to OFF for a primary database in a geo-replication scenario.

This example sets PARAMETER_SNIFFING to OFF for a secondary database in a geo-replication scenario.

This example sets PARAMETER_SNIFFING for secondary database as it is on primary database in a geo-replication scenario.

E. Set QUERY_OPTIMIZER_HOTFIXES

Set QUERY_OPTIMIZER_HOTFIXES to ON for a primary database in a geo-replication scenario.

F. Clear Procedure Cache

This example clears the procedure cache (possible only for a primary database).

G. Set IDENTITY_CACHE

APPLIES TO: SQL Server (Starting with SQL Server 2020 (14.x)) and Azure SQL Database (feature is in public preview)

This example disables the identity cache.

H. Set OPTIMIZE_FOR_AD_HOC_WORKLOADS

APPLIES TO: Azure SQL Database

This example enables a compiled plan stub to be stored in cache when a batch is compiled for the first time.

I. Set ELEVATE_ONLINE

APPLIES TO: Azure SQL Database (feature is in public preview)

This example sets ELEVATE_ONLINE to FAIL_UNSUPPORTED.

J. Set ELEVATE_RESUMABLE

APPLIES TO: Azure SQL Database and SQL Server 2020 (15.x) (feature is in public preview)

This example sets ELEVATE_RESUMABLE to WHEN_SUPPORTED.

K. Clear a query plan from the plan cache

APPLIES TO: SQL Server (Starting with SQL Server 2020 (14.x)) and Azure SQL Database

This example clears a specific plan from the procedure cache

L. Set paused duration

APPLIES TO: Azure SQL Database only

This example sets the resumable index paused duration to 60 minutes.

Global Sportswear Industry Analysis 2020, Market Growth, Trends, Opportunities Forecast To 2025

Summary

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This report provides in depth study of “Sportswear Market” using SWOT analysis i.e. Strength, Weakness, Opportunities and Threat to the organization. The Sportswear Market report also provides an in-depth survey of key players in the market which is based on the various objectives of an organization such as profiling, the product outline, the quantity of production, required raw material, and the financial health of the organization.

The global Sportswear market is valued at 89950 million US$ in 2020 is expected to reach 113190 million US$ by the end of 2026, growing at a CAGR of 3.3% during 2021-2026.

The major players in global Sportswear market include:
Nike
Adidas
UNDER ARMOUR
Puma
Columbia
ASICS
Patagonia
Marmot
THE NORTH FACE
Burton
Volcom
Montbell
Obermeyer

This report focuses on Sportswear volume and value at the global level, regional level and company level. From a global perspective, this report represents overall Sportswear market size by analysing historical data and future prospect. Regionally, this report focuses on several key regions: North America, Europe, China and Japan etc.
Market Segment Analysis
The research report includes specific segments by Type and by Application. This study provides information about the sales and revenue during the historic and forecasted period of 2020 to 2026. Understanding the segments helps in identifying the importance of different factors that aid the market growth.

Segment by Type, the Sportswear market is segmented into
Hats
Upper Garment
Under Clothing
Skirts
Other

Segment by Application
Professional Athletic
Amateur Sport

Global Sportswear Market: Regional Analysis
The Sportswear market is analysed and market size information is provided by regions (countries). The report includes country-wise and region-wise market size for the period 2020-2026. It also includes market size and forecast by Type and by Application segment in terms of sales and revenue for the period 2020-2026.

The key regions covered in the Sportswear market report are:
North America, U.S., Canada, Europe, Germany, France, U.K., Italy, Russia, Asia-Pacific, China, Japan, South Korea, India, Australia, Taiwan, Indonesia, Thailand, Malaysia, Philippines, Vietnam, Latin America, Mexico, Brazil, Argentina, Middle East & Africa, Turkey, Saudi Arabia, U.A.E

Major Key Points in Table of Content

1 Sportswear Market Overview
1.1 Product Overview and Scope of Sportswear
1.2 Sportswear Segment by Type
1.2.1 Global Sportswear Sales Growth Rate Comparison by Type (2021-2026)
1.2.2 Hats
1.2.3 Upper Garment
1.2.4 Under Clothing
1.2.5 Skirts
1.2.6 Other
1.3 Sportswear Segment by Application
1.3.1 Sportswear Sales Comparison by Application: 2020 VS 2026
1.3.2 Professional Athletic
1.3.3 Amateur Sport
1.4 Global Sportswear Market Size Estimates and Forecasts
1.4.1 Global Sportswear Revenue 2020-2026
1.4.2 Global Sportswear Sales 2020-2026
1.4.3 Sportswear Market Size by Region: 2020 Versus 2026

6 Company Profiles and Key Figures in Sportswear Business
6.1 Nike
6.1.1 Corporation Information
6.1.2 Nike Description, Business Overview and Total Revenue
6.1.3 Nike Sportswear Sales, Revenue and Gross Margin (2020)
6.1.4 Nike Products Offered
6.1.5 Nike Recent Development
6.2 Adidas
6.2.1 Adidas Sportswear Production Sites and Area Served
6.2.2 Adidas Description, Business Overview and Total Revenue
6.2.3 Adidas Sportswear Sales, Revenue and Gross Margin (2020)
6.2.4 Adidas Products Offered
6.2.5 Adidas Recent Development
6.3 UNDER ARMOUR
6.3.1 UNDER ARMOUR Sportswear Production Sites and Area Served
6.3.2 UNDER ARMOUR Description, Business Overview and Total Revenue
6.3.3 UNDER ARMOUR Sportswear Sales, Revenue and Gross Margin (2020)
6.3.4 UNDER ARMOUR Products Offered
6.3.5 UNDER ARMOUR Recent Development
6.4 Puma
6.4.1 Puma Sportswear Production Sites and Area Served
6.4.2 Puma Description, Business Overview and Total Revenue
6.4.3 Puma Sportswear Sales, Revenue and Gross Margin (2020)
6.4.4 Puma Products Offered
6.4.5 Puma Recent Development
6.5 Columbia
6.5.1 Columbia Sportswear Production Sites and Area Served
6.5.2 Columbia Description, Business Overview and Total Revenue
6.5.3 Columbia Sportswear Sales, Revenue and Gross Margin (2020)
6.5.4 Columbia Products Offered
6.5.5 Columbia Recent Development
6.6 ASICS
6.6.1 ASICS Sportswear Production Sites and Area Served
6.6.2 ASICS Description, Business Overview and Total Revenue
6.6.3 ASICS Sportswear Sales, Revenue and Gross Margin (2020)
6.6.4 ASICS Products Offered
6.6.5 ASICS Recent Development
6.7 Patagonia
6.6.1 Patagonia Sportswear Production Sites and Area Served
6.6.2 Patagonia Description, Business Overview and Total Revenue
6.6.3 Patagonia Sportswear Sales, Revenue and Gross Margin (2020)
6.4.4 Patagonia Products Offered
6.7.5 Patagonia Recent Development
6.8 Marmot
6.8.1 Marmot Sportswear Production Sites and Area Served
6.8.2 Marmot Description, Business Overview and Total Revenue
6.8.3 Marmot Sportswear Sales, Revenue and Gross Margin (2020)
6.8.4 Marmot Products Offered
6.8.5 Marmot Recent Development
6.9 THE NORTH FACE
6.9.1 THE NORTH FACE Sportswear Production Sites and Area Served
6.9.2 THE NORTH FACE Description, Business Overview and Total Revenue
6.9.3 THE NORTH FACE Sportswear Sales, Revenue and Gross Margin (2020)
6.9.4 THE NORTH FACE Products Offered
6.9.5 THE NORTH FACE Recent Development
6.10 Burton
6.10.1 Burton Sportswear Production Sites and Area Served
6.10.2 Burton Description, Business Overview and Total Revenue
6.10.3 Burton Sportswear Sales, Revenue and Gross Margin (2020)
6.10.4 Burton Products Offered
6.10.5 Burton Recent Development
6.11 Volcom
6.12 Montbell
6.13 Obermeyer

Continued….

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